Low-cost far-field wireless electrical load monitoring system applied in an off-grid rural area of Tanzania

dc.contributor.authorWang, Xinlin
dc.contributor.authorHa, Bora
dc.contributor.authorLee, Gil-Yong
dc.contributor.authorKim, Hyungjung
dc.contributor.authorYu, Jongha
dc.contributor.authorRhee, Herb
dc.contributor.authorNjau, Karoli
dc.contributor.authorJande, Yusufu
dc.contributor.authorAhn, Sung-Hoon
dc.date.accessioned2020-06-10T05:27:16Z
dc.date.available2020-06-10T05:27:16Z
dc.date.issued2020-08
dc.descriptionSDG 7: Affordable and Clean Energy, SDG 9: Industry, Innovation, and Infrastructure, SDG 11: Sustainable Cities and Communities.en_US
dc.description.abstractDespite the rapid development of Internet of Things (IoT) technology, there is still a lack of practical wireless energy monitoring methods that can be implemented directly in rural areas with undeveloped infrastructure. To address this gap, this paper presents a novel far-field wireless electrical load monitoring system. By taking advantage of radio frequency (RF) technology, the system realizes one-point-to-multipoint and multichannel communication, thereby extending the effective communication distance of the system and improving its sustainability to the influence of the external environment. The design proposed in this study includes standby equipment to effectively ensure the normal operation of the system in the case of hardware malfunction. The proposed method can be implemented in most geographical regions, neither confined to specific geographic locations nor limited by the level of development of the local infrastructure. Moreover, the hardware of the proposed system is based on Arduino boards, resulting in a low-cost manufacturing process. This system has been applied in a rural area of Tanzania, with 46 households. This paper reports a 238 % increase in power consumption by the residents between the time of initial system deployment, when they had little access to electricity, and the time when accessibility became easy.en_US
dc.identifier.urihttps://doi.org/10.1016/j.scs.2020.102209
dc.identifier.urihttps://dspace.nm-aist.ac.tz/handle/20.500.12479/768
dc.language.isoenen_US
dc.publisherElsevier Ltd.en_US
dc.subjectFar-field wireless electrical load monitoringen_US
dc.subjectRadio frequencyen_US
dc.titleLow-cost far-field wireless electrical load monitoring system applied in an off-grid rural area of Tanzaniaen_US
dc.typeArticleen_US

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